Method of cavitation/flashing detection in or near a process control valve

ABSTRACT

A system and apparatus for detecting and monitoring cavitation inside a flow control device, such as a control valve, includes an acoustic emission sensor coupled to the flow control device in a manner to acquire acoustic signals caused by cavitation. A processor receives acoustic information from the acoustic emission sensor. The processor selectively identifies cavitation events from the acoustic information that meet certain predefined criteria. Cavitation levels are monitored based on at least one of a rate of cavitation events and intensity of individual cavitation events. The cavitation levels may be used to identify the presence of cavitation in the flow control device, to track accumulated cavitation in the flow control device, and/or to identify significant changes in the cavitation levels over time. This information may be used to reduce cavitation, estimate repair and maintenance, and/or monitor performance of the flow control device.

FIELD OF THE INVENTION

The present invention relates to methods of and apparatus for detectingand monitoring cavitation in liquids in or near a flow control device,such as a control valve or pipe.

BACKGROUND

Cavitation within a stream of liquid occurs when the fluid pressure ofthe liquid drops below its vapor pressure in a controlled flow stream offluid, such as in a pipe or control valve, and gas bubbles are formed inthe flow stream. Subsequently, when the fluid pressure recovers to alevel above the vapor pressure, the gas bubbles collapse and implodeviolently in a process that produces a significant high energy acousticwave. Sometimes, the formation of the initial gas bubbles is referred toas “flashing,” whereas the implosion of the gas bubbles is referred toas “cavitation.” For purposes of this description, however, the term“cavitation” is hereafter used to encompass the overall process of boththe formation and the implosion of the gas bubbles unless clearlyindicated otherwise.

Control valves often have at least one region of reduced flow areasomewhere between an inlet into the valve body and an outlet from thevalve body. One typical region of reduced flow area is at or near theorifice defined by the valve seat and/or proximate the valve trim.Therefore, fluid flowing through a control valve usually experiencessome level of pressure drop or pressure loss as it travels through thereduced flow area. The pressure will typically have a lowest valuesomewhere inside or immediately downstream of the control valve bodybefore increasing somewhat. In some circumstances, these lower pressureconditions can cause cavitation in the control valve between the valvetrim and the outlet and/or in the pipe immediately adjacent the outlet.

Cavitation within the stream of liquid passing through the control valvecan be problematic. Cavitation inside or near the physical boundaries ofthe control valve can cause severe physical damage to the control valveor the adjacent piping components. For example, cavitation at or nearthe inner wall surface of the flow channel through the valve body or thevalve trim may cause damage to the pressure boundary, the valve trim, orother valve components. The damage typically accumulates over time suchthat periodic maintenance must be performed on the control valve torepair damage to components caused by the cavitation. When schedulingmaintenance on many industrial process lines, it is desirable to be ableto accurately predict when a particular valve or other piece ofequipment will require repair, up to and including replacement, beforethe process line is shut down and opened up.

SUMMARY

In a system and apparatus according to some aspects, an acousticemission sensor is arranged to detect the presence of cavitation insideand/or proximate a flow control device, such as a control valve, bysensing acoustic signals. The acoustic emission sensor is an electronicsensor arranged to sense acoustic energy traveling through a solidmaterial. In some arrangements, the electronic sensor includes apiezoceramic or other piezoelectric acoustic emission sensor, acapacitive acoustic emission sensor, a laser interferometer acousticemission sensor, and/or other equivalent types of electronic acousticemission sensor. Preferably, the acoustic emission sensor is disposed onan outer surface of the flow control device. A processor is operativelycoupled to the acoustic emission sensor. The processor is configured toreceive acoustic information from the sensor and process the acousticinformation to identify and/or monitor cavitation in the flow controldevice.

According to some aspects, methods of detecting and/or monitoringcavitation inside the flow control device include acquiring transientacoustic energy data with the acoustic emission sensor, filtering thedata to select acoustic information corresponding to cavitation events,and determining cavitation levels based at least partly on one or moreof the rate of cavitation events and the intensity of individualcavitation events.

According to some aspects, cavitation may be tracked over time. Thecavitation levels may be used to determine an accumulation of cavitationwithin the flow control device over time. The accumulation may be usefulfor determining when maintenance should be performed on the flow controldevice. The processor may calculate a damage rate based on theaccumulation of cavitation over time. The damage rate may be used toidentify and/or to predict when the flow control device will needmaintenance to repair components that are damaged by the accumulatedoccurrence of cavitation over time.

According to some aspects, the cavitation levels may be tracked andtrended to determine whether the cavitation levels are increasingsignificantly. Trend information may be used to identify and/or topredict when the valve will need maintenance to repair valve componentsthat are damaged by the cavitation. Trend information may be used toprovide alerts to an operator, for example, to suggest changingoperating conditions of a control valve.

According to some aspects, information relative to the position of aflow control member in the control valve may be used to identifypotentially problematic operating conditions. Position information maybe obtained, for example, from a positioner. The position informationmay be correlated with expected cavitation levels under normal flowconditions for one or more given positions. The expected cavitationlevel may be compared to an actual cavitation level. A significantdeviation of the actual cavitation level with the expected cavitationlevel may indicate that a problem exists. An alert may be generated toindicate that further diagnostics may be appropriate.

In one exemplary arrangement according to the teachings of the presentdisclosure, an apparatus for sensing cavitation in fluid flowing througha flow control device includes an acoustic emission sensor and aprocessor. The acoustic emission sensor is configured to be disposedalong a controlled fluid flow path extending through a body of the flowcontrol device at a selected location, such as at or near a locationlikely to experience cavitation. The acoustic emission sensor isarranged to detect acoustic signals produced by cavitation within thefluid flow path. It is preferable to identify and capture the acousticsignals as individual and discrete occurrences of a transient elasticwave. The acoustic emission sensor is arranged to provide acousticinformation based on the detected acoustic signals in the fluid flowpath to the processor, such as by signals representative of theintensity of acoustic signals. The processor is operatively coupled withthe acoustic emission sensor to receive the acoustic information. Theprocessor is arranged to process the acoustic information and monitorcavitation levels in the fluid flow path based at least in part on arate of cavitation events and an intensity of individual cavitationevents extracted from the acoustic information.

In another exemplary arrangement in accordance with the teachings of thepresent disclosure, a method of monitoring cavitation levels in a flowcontrol device for process liquids is disclosed. An acoustic emissionsensor is coupled to an exterior wall of the flow control device and aprocessor is operatively coupled to the acoustic emission sensor toreceive acoustic emission signals representative of transient acousticenergy data sensed in the fluid flow path by the acoustic emissionsensor. The method includes acquiring at least one signal from theacoustic emission sensor with the processor; determining if the acquiredsignal corresponds to a cavitation event having predefinedcharacteristics; recording selected characteristics of the acquiredsignal with the processor only if the acquired signals are produced by acavitation event; and determining the cavitation level based on a rateof cavitation events and an intensity of each cavitation event.

In another exemplary arrangement in accordance with the teachings of thepresent disclosure, a method of monitoring an estimate of damage to aflow control device for process liquids caused by cavitation isdisclosed. The method includes acquiring signals from the acousticemission sensor with the digital signal processor. The acquired signalsare associated with transient acoustic emission data within apre-defined range of frequencies. Selected characteristics of theacquired signals are recorded with the digital signal processor only ifthe acquired signals are produced by a cavitation event wherein theacoustic signals and/or the acquired signals are within a predefinedfrequency range. Preferably, one or more filters are configured tofilter the acoustic signals and/or the acquired signals to attenuatepredefined unwanted frequencies above and/or below preselectedrespective upper and lower frequency limits. This filtering can occurone or more levels including within the acoustic emission sensor itself,within filtering hardware operatively disposed between the acousticemission sensor and the digital signal processor, and/or with filteringsoftware routines. A hit rate comprising the number of cavitation eventsthat occur within a period of time is calculated. An intensity of eachcavitation event is calculated, wherein the intensity is based on anenergy unit per cavitation event. A cavitation level is determined basedon the hit rate and the intensity. The number of times the cavitationlevel exceeds a predetermined threshold is tracked, whereby an estimateof accumulated damage to the flow control device caused by cavitationmay be monitored.

In a further exemplary arrangement in accordance with the teachings ofthe present disclosure, a method of monitoring whether cavitation levelsin a flow control device for process liquids are increasing includescalculating a trend of the hit rates and intensities with respect totime, and generating an alert that cavitation levels are increasing ifthe trend indicates that the hit rates and intensities are increasingover time.

According to some aspects and forms, the arrangement and interconnectionof physical components of the system provides specific advantages inisolation from any computer programming and method aspects of thesystem. Similarly, in other aspects and forms, computer programmingand/or methods embodying various aspects of processes disclosed hereinprovide specific advantages in isolation from some or all of thespecific physical components of the system.

Other viable aspects and optional forms of the system, apparatus, andmethods disclosed herein consistent with any one or more of thedependent claims and the following description will be apparent uponconsideration of the following detailed description and the appendeddrawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a partial cross-sectional view of a control valve in a processcontrol line including a diagrammatic illustration of a system forsensing cavitation in fluid flowing through the control valve;

FIG. 2 is a logic flow diagram of a method of monitoring cavitation in aflow control device that may be implemented using the system of FIG. 1;

FIG. 2A is a pair of correlated graphs charting the amplitude andthreshold crossings for a series of acoustic emission signals during anidealized period of cavitation flow;

FIG. 3 is a detailed logic flow diagram of a step in FIG. 2;

FIG. 4 is a logic flow diagram of another method of monitoringcavitation in a flow control device that may be implemented using thesystem of FIG. 1;

FIG. 5 is a logic flow diagram of a further method of monitoringcavitation in a flow control device that may be implemented using thesystem of FIG. 1; and

FIG. 6 is a logic flow diagram of a still further method of monitoringcavitation in a flow control device that may be implemented using thesystem of FIG. 1.

DETAILED DESCRIPTION

Turning now to the drawings, FIG. 1 illustrates a system 8 and apparatusfor sensing and/or monitoring cavitation in liquid flowing through acontrol valve 10 or other flow control device according to the teachingsof the present disclosure. The system 8 includes a flow control device,such as control valve 10 and/or pipes 24 a and 24 b, one or moreacoustic emission sensors, such as acoustic emission sensors 26 a-d, anda computerized processor, such as processor 30. The system 8 may be partof a larger process control plant, such as an oil refinery or chemicalprocessing plant, as is understood in the art. For example, the system 8may be integrated into a computerized control system for a processcontrol plant, such as the system described in detail in U.S. Pat. No.6,954,713, which is incorporated herein by reference in its entirety.The system 8 senses acoustic signals in fluid flow, such as acousticsignals generated by cavitation in or near the control valve 10, andidentifies a cavitation flow condition based on the acoustic signals.The acoustic signals may include transient acoustic energy data causedby the formation of gas bubbles and/or the subsequent collapsing of thegas bubbles as part of the cavitation. The cavitation flow condition maybe identified by the presence of cavitation events, which havepreselected characteristics. Preferably, the system 8 monitors acavitation level based on a rate of cavitation events and/or anintensity of individual cavitation events. The system 8 can provide areport of the cavitation flow condition in the liquid. The report may beprovided to an operator and/or to a controller for the control valve 10.In some arrangements, the system 8 tracks accumulation of cavitationover time, which may be used to predict when maintenance should bescheduled on the control valve 10. In some arrangements, the system 8monitors changes in the cavitation level, which may be used to providean alert for statistically significant changes in the cavitation level.In some arrangements, the cavitation level may be correlated with aposition of the control valve to identify potentially problematicoperating conditions. Although the example shown in the drawings relatesspecifically to a control valve 10, the system 8 and apparatus andmethods may be arranged to monitor cavitation in other types of flowcontrol devices for process liquids, such as pipes and reducers, in asimilar manner as described with respect to the example control valve10.

The control valve 10 includes a valve body 12, a flow control member 14,and an actuator 16. A fluid flow path 18 extends through the valve body12. The fluid flow path 18 extends at least partly from an inlet 20 intothe valve body 12, through a throat 28, to an outlet 22 out of the valvebody 12. The fluid flow path 18 may also be defined at least partly by apipe 24 a connected to the inlet 20 and/or a pipe 24 b connected to theoutlet 22. Additional components of the control valve 10 are well knownand are not explained in further detail herein for the sake of brevity.

One or more of the acoustic emission sensors 26 a, 26 b, 26 c, and 26 dare disposed along the fluid flow path 18. Cavitation events that act onor near the inside surface of the valve body 12 are transmitted throughthe valve body to one or more of the acoustic emission sensors 26 a-d.The acoustic emission sensors 26 a-d detect acoustic signals and provideacoustic information representative of the detected acoustic signals.The acoustic signals sensed by the acoustic emission sensors mayinclude, for example, vibrations and noise caused by the collapsing ofbubbles within the fluid during cavitation. The acoustic signals alsomay include energy released in the valve body 12 when a bubble collapsesclose enough to the inner wall of the valve body that a small amount ofdamage occurs to the valve body. Preferably, the acoustic emissionsensors 26 a-d identify and capture the acoustic signals as individualand discrete occurrences of a transient elastic energy wave. Asunderstood in the art, an elastic energy wave is an acoustic energy wavethat is traveling through a solid, as opposed to an acoustic energy wavethat is traveling through air or liquid. The acoustic informationtransmitted by the acoustic emission sensors 26 a-d is preferablyprovided in the form of signals, such as electronic acoustic emissionsignals, generated in response to the sensed acoustic signals. Theacoustic emission sensors 26 a-d are preferably piezoelectric sensors,such as piezoceramic sensors, and may be high frequency piezoceramicsensors, such as the VS900-RIC acoustic emission sensors available fromVallen Systeme GmbH, of Icking, Germany, although other high frequencyacoustic emission sensors may be used. In some arrangements, one or moreof the acoustic emission sensors also or alternatively may includecapacitive acoustic emission sensors, laser interferometer acousticemission sensors, and/or other types of electronic acoustic emissionsensors capable of detecting and receiving the acoustic signals producedby cavitation within or near the control valve 10.

The system 8 does not necessarily include each or all of the acousticemission sensors 26 a-d in all arrangements; however, preferably atleast one of the acoustic emission sensors 26 a-d is arranged to acquirethe acoustic signals caused by cavitation. In the exemplary arrangementof FIG. 1, each of the acoustic emission sensors 26 a-d is disposed atone or more selected locations, which may be selected based on thelikelihood of experiencing cavitation caused by the control valve 10.The acoustic emission sensors 26 a-d are arranged to detect acousticsignals emanating from fluid flowing along the fluid flow path 18 andpassing as elastic waves through one or more solid components of thecontrol valve 10, such as the wall of the valve body 12.

The acoustic emission sensors 26 a-c are disposed on the valve body 12and the pipe 24 b at one or more locations where cavitation is mostlikely to occur. One common region where cavitation can occur is in thearea of the fluid flow path 18 immediately downstream of the flowcontrol member 14 and/or the trim, such as between the throat 28 and theoutlet 22. Therefore, the acoustic emission sensors 26 a and 26 b arelocated at different selected locations along the fluid flow path 18between the throat 28 and the outlet 22. For example, the acousticemission sensor 26 a is disposed adjacent the throat 28, and theacoustic emission sensor 26 b is disposed adjacent the outlet 22. Duringcavitation, the formation of the gas bubbles can create a first acousticsignal pattern and the implosion of the gas bubbles can create a secondacoustic signal pattern. The acoustic emission sensors 26 a-c detectthese first and second acoustic signal patterns and create electricalacoustic emission signals representative of these acoustic signalpatterns in a manner well understood in the art. In this arrangement,the acoustic emission sensor 26 a may be more likely to detect theformation of bubbles, or “flashing,” and the acoustic emission sensor 26b may be more likely to detect the implosion of the bubbles. Cavitationmay also occur or continue to occur further downstream of the outlet 22,such as in a region of the pipe 24 b immediately adjacent the outlet 22.Therefore, the acoustic emission sensor 26 c is disposed on the pipe 24b adjacent the connection with the outlet 22. The acoustic emissionsensor 26 c may also detect the implosion of the bubbles or may detectfewer bubble implosions or normal flow, i.e., flow without cavitationpresent.

The acoustic emission sensor 26 d is disposed along the fluid flow path18 at one or more locations proximate the control valve 10 that are notlikely to experience cavitation. The acoustic emission sensor 26 d maybe located on an upstream side of the flow control member 14. Forexample, the acoustic emission sensor 26 d may be coupled on an exteriorsurface the valve body 12 between the inlet 20 and the flow controlmember 14, as illustrated in FIG. 1, or on the pipe 24 a. Because theacoustic emission sensor 26 d is located where cavitation is not likelyto occur, the acoustic emission sensor 26 d provides baseline acousticinformation that may be used as a baseline measure of normal flow, i.e.,flow without cavitation present. The baseline acoustic informationgenerated by the acoustic emission sensor 26 d may be in the form ofelectrical acoustic emission signals called baseline emission signals.The baseline acoustic information may be compared against the acousticinformation derived from the acoustic emission signals generated by theacoustic emission sensors 26 a-c to calibrate the acoustic emissionsensors 26 a-c, detect the presence of cavitation in the fluid, and/ormeasure the intensity of cavitation.

Preferably, the acoustic emission sensors 26 a-d are secured to theexterior of the respective valve body 12 and pipes 24 a and 24 b, i.e.,on the side of the wall opposite the fluid flow path 18. In thisarrangement, the acoustic emission sensors 26 a-d can detect theacoustic signals from cavitation along the flow path 18 withoutbreaching the boundary of the flow path. That is, the flow path 18remains sealed without the acoustic emission sensors 26 a-d or leadwires extending through the boundary wall, such as at a seal or flange.By not breaching the boundary of the flow path, the system 8 can acquirethe acoustic signals in a manner that is less likely to cause leaks. Theacoustic emission sensors 26 a-d may be operatively coupled to the valvebody 12 and/or the pipes 24 a, 24 b by any method sufficient to maintainthe acoustic emission sensors 26 a-d disposed on the respective valvebody 12 and/or pipes 24 a, 24 b and able to adequately sense acousticsignals in the form of vibrations emanating from the liquid flowingalong the fluid flow path 18. A preferred acoustic coupling for acousticemission monitoring of cavitation is similar to the process described inASTM standard E650 as is understood in the art. For example, it istypically important to maintain maximum face-to-face contact between theactive detection area on the face of the acoustic emission sensor andthe surface of the flow control device with a minimum of gaps or airspace therebetween. Therefore, the acoustic emission sensors 26 a-d maybe coupled directly to the exterior surface of the respective valve body12 and/or pipes 24 a, 24 b, for example with welds, fasteners, clamps,or adhesives. Preferably, the shape of the face of the acoustic emissionsensor is complementary to the corresponding shape of the receivingsurface of valve body or pipe. In some cases, a thin layer of grease orgel may be disposed between the receiving surface and the face of thesensor and manipulated so as to eliminate any air bubbles therebetween.

A thermal standoff (not shown) may be disposed between the face of theacoustic emission sensor and the receiving surface to insulate theacoustic emission sensor from the valve body. Use of a thermal standoffcan be advantageous where the valve operates at high temperature or ifaccess to the valve is limited. The thermal standoff may be a piece ofmetal with one or more exposed outside surfaces arranged to dissipateheat. Inclusion of a thermal standoff may also require some compensationand/or corrections to the acoustic emission signals to accommodate forvariances caused by the thermal standoff.

The processor 30 is operatively connected to one or more of the acousticemission sensors 26 a-d to receive the respective acoustic informationgenerated thereby. The acoustic information may be communicated in anysuitable manner, such as by receiving the acoustic emission signalsdirectly by a wired or wireless communication pathway or by indirectlyreceiving the acoustic information via other possible communicationpathways. Preferably, the acoustic information is provided in the formof electric acoustic emission signals generated by the acoustic emissionsensors 26 a-d in response to the sensed acoustic signals. The processor30 is configured to identify and monitor the presence of cavitation inthe fluid flow path 18 based on the acoustic information received fromany one or more of the acoustic emission sensors 26 a, 26 b, 26 c,and/or 26 d. The processor 30 is also configured to extract data fromthe acoustic information and use the acoustic information to determineadditional information about or relevant to the control valve 10 basedon the monitored cavitation. The processor 30 may be dedicated tomonitoring the presence of cavitation at the flow control device, or theprocessor 30 may be integrated with other computerized systems thatperform other process control functions. For example, the processor 30may be integrated with a positioner 32 for controlling the position ofthe flow control member 14. The positioner 32 may be a typical digitalvalve positioner, such as a Fisher Fieldview™ DVC6000 digital valvecontroller, available from Emerson Process Management, of Mashalltown,Iowa. The processor 30 may be connected to and/or integrated with one ormore other plant control system computers 34, for example, with a bus36.

In one arrangement, the processor 30 includes a digital signal processor(DSP) 38, one or more digital or other electronic memory modules 40, oneor more computer processors 42, and other known computer components,such as input/output devices, data communication devices, applicationspecific integrated circuits (ASICs), and/or software modules foraccomplishing the functions and methods described herein in a mannerthat would be understood by a person of ordinary skill in the digitalsignal processing and computing arts. The DSP 38 may include ananalog-to-digital (AD) converter. In other arrangements, the processor30 may include embedded signal processing routines to process theacoustic emission signals received from the acoustic emission sensors 26a-d instead of a dedicated DSP 38. The computer processor 30 may includeall of the functional components above in a single unit or one or moreof the components may be remote and operatively connected by any knowndata communication arrangement, such as via the Foundation™ Fieldbusprotocol, HART protocol, internet, Ethernet, and/or or other suitabledata communication arrangements as would be understood by a person ofordinary skill. Data communication between various components of thesystem 8 may be via one or more wired connections and/or wirelessconnections.

The processor 30 includes program instructions or is arranged to accesssuch program instructions implemented by means of appropriate hardwareand/or software sufficient to receive the acoustic information generatedby the acoustic emission sensors 26 a-d and to process the receivedacoustic information in a method sufficient to monitor cavitation levelsin the fluid flow path based on the rate and intensity of individualcavitation events. To accomplish this, one or more routines, preferablyin the form of sets of programming instructions, are accessible to theprocessor 30. In one arrangement, an acquisition routine 50, a filteringroutine 52, and one or more monitoring routines 54 a, 54 b, 54 c, and 54d are stored in the memory 40. In other arrangements, the programminginstructions may also or alternatively be embedded directly within thecomputer processor 42 and/or may be stored elsewhere and accessedremotely by the computer processor 42. The acquisition routine 50 causesthe processor 30 to receive the acoustic information generated by theacoustic emission sensors 26 a-d, such as by receiving the acousticemission signals (“AE signals”). The filtering routine 52 filters thereceived AE signals to select only signals that meet one or morepredefined characteristics indicative of cavitation at the control valve10 and ignoring other signals. In some arrangements, filtering may alsoor alternatively be performed by filtering of the acoustic signals bythe acoustic emission sensors 26 a-d and/or by filtering hardware 55.The filter hardware 55 is operatively located between the acousticemission sensors 26 a-d and the processor 30 so as to filter theacoustic emission signals prior to being received at the processor 30.The monitoring routines 54 a-d use the selected signals to identify andmonitor cavitation in the control valve 10 according to variouscriteria. Together, the acquisition routine 50, filtering routine 52,and one or more of the monitoring routines 54 a-d may be configured toimplement one or more of the methods described in detail hereinafter.The routines 50, 52, and 52 a-d may be instructions in the form ofsoftware, for example stored in the memory 40, and/or hardware, such asdedicated circuits within the computer processor 42, the DSP 38, thepositioner 32, and/or the sensors 26 a-d.

With reference to FIGS. 2 and 3, a method 100 of monitoring cavitationin a flow control device, such as the control valve 10 and/or the pipes24 a or 24 b, is illustrated. The method is implemented by the system 8of FIG. 1. The system 8 is configured to acquire acoustic signals fromfluid flowing through the flow control device with any one or more ofthe acoustic emission sensors 26 a-d within a range of frequenciespreselected for being likely to be indicative of cavitation. Theacquired acoustic signals preferably include transient acoustic energydata generated by cavitation. The system 8 may be configured to providea level of filtering at the acoustic emission sensors, for example, byadjusting sensitivity parameters of the acoustic emission sensors,selecting acoustic emissions sensors with predefined sensitivity ranges,and/or adjusting output parameters for the acoustic emission signaloutput by the acoustic emission sensors. In some arrangements, theacoustic emission sensors 26 a-d are configured to filter the acousticsignals so as to provide a first level of filtering by only acquiringacoustic signals within the range. For example, the range in somearrangements is between approximately 500 kHz and approximately 1600kHz, but other ranges may be used. The system 8 may be configured toprovide a level of filtering between the acoustic emission sensors andthe processor 30, for example, with filtering hardware 55 operativelylocated between the acoustic emission sensors and the processor 30. Thesystem may be configured to provide a level of filtering, for example,by adjusting receiving limit parameters at the processor 30, such aswith instruction routines or programs implemented from software orhardware. The receiving limit parameters may include one or moreparameters within the AD converter, DSP 38, or other hardware orsoftware components of the processor 30. The processor 30 receivesacoustic information in the form of AE signals from one or more of theacoustic information sensors 26 a-d about acoustic signals caused bytransient events that occur with each bubble formation, cavity, orbubble collapse during a cavitation event within the flow control deviceand uses the data to calculate a cavitation level.

Block 102 acquires acoustic signals from the flow control device atleast within the preselected range of frequencies. In one arrangement,the acoustic signals are acquired initially by one or more of theacoustic emission sensors 26 a-d. The acoustic emission sensors 26 a-dare configured to acquire transient acoustic energy data within a rangeof frequencies, such as at least between approximately 500 kHz andapproximately 1600 kHz. Acoustic signals acquired by either of thesensors 26 a and 26 b, for example, may be used to provide directacoustic information regarding cavitation occurrences within the flowcontrol valve 10 downstream of the throat 28. Acoustic signals acquiredby the sensor 26 c may provide direct information regarding cavitationoccurrences within the pipe 24 b adjacent the downstream outlet 22 ofthe control valve 10. Acoustic signals acquired by the sensor 26 d mayprovide control or baseline information relative to standard liquid flowwithout cavitation. For purposes of the following descriptions, theacoustic signals are obtained by the acoustic emission sensor 26 a;however, the same process may be followed for any one of the acousticemission sensors 26 a-d. The acoustic emission sensor 26 a thengenerates acoustic information in the form of an AE signalrepresentative of the acquired transient acoustic energy data. The AEsignal is communicated to the processor 30, for example, via wires 56and/or other suitable electronic data communication pathway. The block102 may be executed, for example, by the acquisition routine 50 of theprocessor 30.

Block 104 determines if the AE signal from block 102 is caused by acavitation event according to predefined parameters. A cavitation eventis defined by one or more predefined characteristics of the AE signal.In one arrangement, a cavitation event is defined as an acquired AEsignal that is above a predefined minimum threshold and within apredefined filter range. The filter range can include the minimumthreshold (i.e., a low end) and a predefined maximum cutoff (i.e., ahigh end). For example, an entire AE signal waveform may be consideredbased on amplitude and frequency of the signal. The amplitude of the AEsignal waveform is representative of the acoustic energy decibels(dB_(AE)) of a given waveform. Preferably, the dB_(AE) is measured inmicrovolts and reported in dB_(AE) by calculating −20 Log 10 (PeakAmplitude Voltage/1 microvolt). It may be determined whether thewaveform of the AE signal meets one or more threshold parameters, suchas an amplitude within a specified range and/or the hit rate of highamplitude waveforms. However, other threshold and filter parameters maybe used. If the AE signal exceeds the predetermined minimum thresholdand is within the predefined filter range, then the AE signal isconsidered to be a “hit” caused by a cavitation event that, for example,may affect the maintenance of the flow control device. In this case, theAE signal is selected as being caused by a cavitation event and controltransfers to block 106. If the AE signal does not exceed thepredetermined minimum threshold and is not within the predefined filterrange, then the AE signal is ignored and control returns to block 102 toacquire another AE signal from the acoustic emission sensor 26 a. Theblock 104 may be executed, for example, by the filtering routine 52 ofthe processor 30.

Block 106 records preselected characteristics of the selected AE signalfrom block 104 representative of various acoustic information from thecavitation event captured by the acoustic emission sensor 26 a. Withreference to FIG. 2A, individual cavitation events typically occur ingroups during a period of cavitation flow. FIG. 2A illustrates anexample waveform WF for a transient event that may be similar to a groupof cavitation events during a period of cavitation flow. The upper graphshows the voltage of acquired signals S and the lower graph showsthreshold crossings of the signals. The sensor output voltage, asillustrated in the upper graph, is typically reported in acoustic energydecibels (i.e., dB_(AE)). The signals S start at time t0 with nocavitation events, cross a predetermined threshold level T at time t1,rise to a peak amplitude at time t2, fall back below the threshold levelT at time t3, and fall to no cavitation events at time t4. Othercharacteristics may include additional individual features of theacquired signal S, such as the number, rate, and/or time duration ofthreshold crossings TC within the group, rise time from a firstthreshold crossing to a largest amplitude acquired signal S within thegroup of hits, and accumulated energy of a group of hits, each of whichare well understood in the art of acoustic waveform processing. Thethreshold crossings TC may correspond to the hits and counts discussedin detail hereinafter relative to FIG. 4.

Returning to FIG. 2, block 108 determines a cavitation level value fromthe characteristics recorded at block 106. The cavitation level isdetermined based on the rate of cavitation events and the intensity ofthe cavitation events. In one exemplary method, illustrated in FIG. 3,block 108 includes a first calculation related to the rate of cavitationevents at block 110, a second calculation related to the intensity ofeach cavitation event at block 112, and a third calculation related tothe cavitation level value at block 114.

Block 110 calculates a hit rate by recording the number of cavitationevents that occur during a selected period of time. For example, the hitrate H may be the number of cavitation events N that occur during aperiod of time t immediately preceding the present time T divided by theperiod of time. This may be represented as the equation:H=N_(T−t)/(T−t). In most situations, the hit rate is calculated as thenumber of cavitation events that occur over a period of time of at mostup to a few seconds, such as between about 1 second and about 10seconds. However, longer or shorter periods of time may be used in somesituations. The hit rate is reported as the number of cavitation eventsper second during that period of time. With reference to FIG. 2A, in oneexample, a hit rate R may be calculated as the number of individualthreshold crossings TC that occur during of a given period of cavitationflow (e.g., from t1 to t3) divided by the duration of the period ofcavitation flow (e.g., t3−t1).

Block 112 calculates an intensity of each individual cavitation eventbased on the characteristics recorded at block 106. The intensity isbased on a measure of energy released by the cavitation event. Forexample, the intensity may be correlated with the amplitude, duration,area under the wave, and/or other individual features of the acquiredsignal S. In one arrangement, the intensity is determined as theabsolute value of the area under one waveform or a group of waveforms,as illustrated in FIG. 2A. Energy may be calculated as the integrationof the sensor output voltage squared over time, i.e.,Energy=Integral(v²)(dt), where v is the sensor output voltage and dt isthe change in time, as is understood in the art. Blocks 110 and 112 maybe performed in any order or simultaneously.

Block 114 calculates a value of the cavitation level based on the hitrate calculated at block 110 and the intensity calculated at block 112.The value of the cavitation level is preferably calculated as a functionof both the hit rate and the intensity. That is, C=f(R,i), where C isthe cavitation level, R is the hit rate, I is the intensity. Preferably,the cavitation level is directly proportional to the hit rate and theintensity. Different specific equation relationships can be used tocalculate the cavitation level C depending on the specific data receivedand the specific form of the output desired.

The blocks 106-114 may be executed, for example, by the monitoringroutine 54 a of the processor 30.

The cavitation level determined by the method 100 may have severaldifferent uses, such as determining if cavitation is occurring,determining an intensity of cavitation activity at some point in time,and/or tracking an accumulation of cavitation and/or damage over aperiod of time. This information may be useful, for example, inmonitoring performance of the flow control device, identifying non-idealfunctioning of the flow control device, and/or predicting maintenanceneeds without disassembling or having total failure of the flow controldevice. The following methods build on the method 100 to utilize theinformation regarding cavitation levels provided by the method ofmonitoring.

FIG. 4 illustrates another method 200 of monitoring cavitation of thatmay be useful, for example, for estimating damage to a flow controldevice, such as the control valve 10. The method 200 may be implementedwith the system 8 illustrated in FIG. 1. The method 200 includes stepsof the method 100 for monitoring cavitation levels and uses theinformation about the cavitation levels to monitor the cavitation over aperiod of time, and to monitor an accumulation of cavitation activityover time. The information may be used to estimate the amount of damagesustained by the flow control device, to track the damage, and/or topredict and/or plan for maintenance to repair the damage.

The system of FIG. 1 is configured to acquire transient acoustic energydata from any one or more of the acoustic emission sensors 26 a-d withina selected frequency range, as described in detail previously inrelation to the method 100.

At block 102, the system of FIG. 1 acquires transient acoustic energydata from any one or more of the acoustic emission sensors 26 a-d atleast within a preselected range of frequencies and generates AEsignals, as described in detail previously.

At block 104, the processor 30 determines whether the AE signal iscaused by a cavitation event according to predefined parameters andselects a signal for further processing if it is within the predefinedparameters, as described in detail previously.

At block 106, the processor 30 records selected characteristics of theselected signal, such as the waveform or other individual features ofthe acoustic emission signal, as described in detail previously.

At block 110, the processor 30 determines the rate of cavitation events,for example, by calculating the hit rate as described previously.

At block 112, the processor 30 determines the intensity of eachcavitation event, for example by calculating the amount of energy percavitation event as described previously.

At block 114 a, the processor 30 calculates a cavitation level anddetermines whether the cavitation level exceeds a predeterminedcavitation level threshold. If the cavitation level exceeds thepredetermined cavitation level threshold, then control passes to block116. If the cavitation level does not exceed the predeterminedcavitation level threshold, then control returns to the block 102 toacquire another AE signal. In one exemplary arrangement, thedetermination of whether the cavitation level exceeds the predeterminedcavitation level threshold may include an independent comparison of eachor either of the hit rate and the intensity with separate thresholdvalues for the cavitation event. The hit rate calculated at block 110 iscompared with a predetermined hit rate threshold value. The intensity iscompared with a predetermined intensity threshold value. In somearrangements, the cavitation level is determined to exceed thepredetermined cavitation level threshold if both the hit rate and theintensity exceed the respective hit rate threshold value and theintensity threshold value. In other arrangements, the cavitation levelis determined to exceed the predetermined cavitation level threshold ifeither the hit rate or the intensity exceed the respective hit ratethreshold value and the intensity threshold value. In another exemplaryarrangement, the cavitation level is calculated as described previouslyfor the block 114 of FIG. 3 as a composite value depending on each ofthe hit rate and the intensity. The composite value of the cavitationlevel is compared with a predetermined composite cavitation levelthreshold value. If the composite value exceeds the composite cavitationlevel threshold, then the cavitation level is determined to exceed thepredetermined cavitation level threshold. A further exemplaryarrangement may include a combination of the previous two exemplaryarrangements. Under any of these schemes, the cavitation levelcalculated is a function of both the rate of cavitation events and theintensity of the individual cavitation events, and is preferably adirectly proportional function, as explained previously. If thecavitation level does not exceed the predetermined cavitation levelthreshold, then control returns to block 102 to acquire another AEsignal from one or more of the acoustic energy sensors 26 a-d. If thecavitation level exceeds the predetermined cavitation level threshold,then the processor 30 institutes further monitoring protocols that may,for example, be used to estimate damage to the flow control device,which may be performed in one or more steps of blocks 116, 118, and 120,described hereinafter.

Block 116 generates an alert indicating that the cavitation levelexceeds the predetermined threshold value or values. The alert ispreferably generated by the processor 30.

Block 118 tracks the number of times and/or the amount of time that thecavitation level exceeds a predetermined threshold so that an estimateof accumulated damage to the flow control device caused by cavitationmay be monitored. In some arrangements, the block 118 increments acounter for the number of times the cavitation level has been determinedto exceed the predetermined cavitation level. The block 118 mayincrement the counter each time an alert is generated at block 116, orthe block 118 may increment the counter in direct response to thepositive determination at block 114 a without generating the alert atblock 116. The counter is preferably a digital electronic counter withinthe processor 30, such as stored within an electronic memory, database,and/or other digital counter mechanism; however, other types ofcounters, such as an analog counter, may be used. In some arrangements,the block 118 tracks the accumulated amount of time that the cavitationlevel exceeds the predetermined threshold. The block 118 may identifythe time duration of each incidence during which the cavitation levelexceeds the predetermined threshold and additively accumulate each suchtime duration. The additive accumulation would represent the accumulatedamount of time that the cavitation level exceeds the predeterminedthreshold.

Block 120 provides a notification to a user of the existence of an alertcondition. The notification may be generated by the processor 30, forexample, in the form of an electronic notification sent to a displayscreen.

Block 122 returns control to the block 102.

The count accumulated by the counter at block 118 may be used toestimate and/or track damage to the flow control device. Specifically,the count can be a proxy for the amount of damage sustained by the flowcontrol device over time. The count may be correlated to estimations ofdamage of the flow control device by correlations between the number ofcavitation events accumulated and the amount of damage sustained by theflow control device. For example, as the count (i.e., the numbercavitation events above the predetermined cavitation level threshold)increases, the estimated accumulated damage to the flow control deviceis assumed to also increase. The correlation may be linear, non-linear,exponential, or another suitable relation that, for example, can bedetermined experimentally and/or theoretically. Thus, a large number ofcounts may indicate an estimate of a large amount of damage to the flowcontrol device caused by cavitation. Conversely, a low number of countsmay indicate an estimate of a low amount of damage to the flow controldevice caused by cavitation.

The count accumulated by the counter may be used to identify when theflow control device needs to be serviced to repair damage caused by orindicated by cavitation. For example, the count may be set to zero whenthe flow control device is new and undamaged. When the count reaches apredefined limit value, the flow control device may be designated forservice. In some arrangements, a report may be created indicating thatthe control valve 10 is due for service when the count reaches somepredetermined limit value. In this arrangement, the estimation of damageis based on an accumulation of damage that is dependent on one or bothof the rate and intensity of cavitation events in the flow controldevice. Further, the estimation of damage may be adjusted to weight theestimate more or less on either of the rate or the intensity of thecavitation events. The predetermined limit value may be determinedexperimentally and/or theoretically.

The count in some arrangements may be used to predict a time in thefuture when the flow control device should be serviced to repair damagecaused by or indicated by cavitation. For example, a velocity of thealerts, i.e., a rate of the number of alerts per some increment of time,may be used in conjunction with the accumulated sum of alerts over aperiod of time to predict a time in the future that the predeterminedlimit value will be reached.

Blocks 116, 118, 120, and 122 may be implemented sequentially orsimultaneously. Further additional functional steps or fewer functionalsteps may be implemented in estimating and/or tracking damage caused tothe flow control device by cavitation. Blocks 114 a-122 may be executed,for example, by the monitoring routine 54 b of the processor 30.

FIG. 5 illustrates a method 300 of monitoring cavitation that may beused to monitor a damage rate to a flow control device, such as thecontrol valve 10. The method 300 may be implemented with the apparatusillustrated in FIG. 1. The method 300 includes steps of the methods 100and 200 for monitoring cavitation levels and uses the information aboutthe cavitation levels to determine information that may be used toestimate the rate of damage sustained by the flow control device.

The system of FIG. 1 is configured to acquire transient acoustic energydata from any one or more of the acoustic emission sensors 26 a-dbetween approximately 500 kHz and approximately 1600 kHz, preferably inthe same manner as described previously relative to methods 100 and 200.In addition, blocks 102, 104, 106, 108 and 112 are implemented by theprocessor 30 in the same manner as previously described relative tomethods 100 and 200, the description of which is not repeated here forbrevity.

Block 124 calculates one or more trends of the cavitation events. In onearrangement, block 124 determines a trend of the hit rate and a trend ofthe intensity values. The trends may be determined graphically and/orstatistically. For example, if the hit rate is increasing over a sampletime period, a hit rate trend may be positive, if the hit rate isdecreasing over the sample time period, the hit rate trend may benegative, and if the hit rate is remaining unchanged over the sampletime period, the hit rate trend may be steady (i.e., zero). Similarly,if the intensity values are increasing, decreasing, or remainingunchanged over a sample time period, an intensity trend may be positive,negative, or steady, respectively. The sample time period may beselected to be any suitable time period. For example, the sample timeperiod may be a period of seconds, minutes, hours, days, weeks, orlonger or shorter, depending on the sensitivity desired. The sample timeperiods for each of the hit rate trend and the intensity trend may bethe same or different from each other. In another arrangement, block 124determines a trend that combines and incorporates each of the hit ratedata and intensity data into a composite cavitation activity trend. Thecomposite cavitation activity trend may be calculated with differentweightings and/or additional information as desired.

Block 126 determines whether one or more of the trends calculated atblock 124 shows whether cavitation activity within the flow controldevice is increasing in a statistically significant manner. Statisticalsignificance may be determined in many ways. For example, statisticalsignificance may be based on a rolling average and/or on a selectedstandard deviation multiple of a selected variable. For example, theblock 126 may determine whether a rolling average of the trendscalculated at block 124 exceeds a preselected value and/or if thecavitation activity is increasing at a rate that exceeds a preselectedrate within a preselected level of statistical significance relative toa standard deviation. If so, then control passes to block 128.Otherwise, control returns to the block 102.

Block 128 generates an alert that indicates that the cavitation level isincreasing. At block 130, the processor 30 notifies a user that thecavitation level is increasing. Blocks 128 and 130 may be executed inany desired order. The alert generated at block 128 may be used, forexample, to monitor the flow control device for increases in normallevels of cavitation that may be indicative of some problem, such as amalfunction or maintenance need, that would not otherwise be readilyvisible to an operator from a visual inspection or other information.

At block 122, control returns to block 102 to continue monitoring fortransient acoustic energy data from the flow control device.

The blocks 122-130 may be executed, for example, by the monitoringroutine 54 c of the processor 30.

In some arrangements, two or more of the methods 100, 200, and 300 maybe implemented together or simultaneously to provide a several types ofinformation to a user. For example, blocks 102 through 112 may beexecuted sequentially, and then two or more of each of block 114, blocks114 a through 120, and blocks 124 through 130 may be executed to provideeach of a cavitation level, an estimate of accumulated damage, and adamage rate.

In some arrangements, one or more of the acoustic emission sensors 26a-d are integrated with the positioner 32. In some arrangements, one ormore of the acoustic emission sensors 26 a-d are integrated with assetmanagement software of the computerized control system of a processcontrol plant. In some arrangements, one or more of the acousticemission sensors 26 a-d are integrated with a process control system ina process control plant. For example, any one or more of the acousticemission sensors 26 a-d could be tied directly to its own dedicatedprocessor 30, or may be implemented as a component of the positioner 32,the DSP 38, or higher level process software, including asset managementsoftware, such as the AMS Suite available from Emerson ProcessManagement, or top level process control system, such as the DeltaVdigital automation system from Emerson Process Management.

In some arrangements, the processor 30 is configured to identify aproblematic flow condition based on the position of the control member14. The processor 30 is configured to receive position information aboutthe position of the flow control member 14 from the positioner 32. Theposition information is used to identify potentially problematicoperating conditions based on the cavitation level determined by any oneof methods 100, 200, or 300. The position information may be correlatedwith expected cavitation levels for different positions, and theexpected cavitation level is compared with an actual cavitation level,such as calculated at bock 114. For example, it may be foundexperimentally that the amount of cavitation in a given control valvevaries according to some identifiable function of the position of theflow control member 14 under some given flow conditions. A significantdeviation in the actual cavitation level from the expected cavitationlevel may indicate that the flow control member 14 is not in theposition it is supposed to be in, that a component is broken orsignificantly worn, or that the flow conditions are different than thegiven flow conditions. Thus, a significant deviation between theexpected cavitation level and the actual cavitation level may serve as aproxy to identify potential problems with the control valve and/or theflow conditions through the control valve 10, which may require furtherinvestigation.

In one exemplary arrangement, the routine 54 d is implemented by theprocessor 30 to execute a method 400, illustrated in FIG. 6. Block 402retrieves position information from the positioner 32, for example viawires 60 or other suitable communication pathway. Block 404 retrieves anexpected cavitation level correlated to that position. The expectedcavitation level may be retrieved, for example, from a database in thememory 40. Block 406 retrieves the actual cavitation level, for example,from the block 114 or 114 a. Block 408 compares the actual cavitationlevel with the expected cavitation level. If the actual cavitationdeviates significantly from the expected cavitation, then an alert isgenerated at block 410. The alert may be provided to an operator orother components of the process control system to indicate that furtherdiagnostics of the control valve 10 may be needed. Whether a deviationis considered significant is determined by a preselected level ofsignificance, which may be selected according any desired set ofparameters. The method 400 may return back to block 402 after either ofblocks 408 or 410 as indicated. In some arrangements, the alert isprovided to an operator to alert the operator to change the operatingposition of the valve.

In some arrangements, the processor 30 is configured to differentiatebetween a normal flow condition and a cavitation flow condition above apredefined threshold cavitation level, and generate a report relative tothe differential. At least two ways of calculating the differential mayinclude: 1) calculating a differential between two locations at the sametime, called a “position differential,” and 2) calculating adifferential between two times (e.g., at t0 and T) at the same location,called a “temporal differential.” To determine a position differential,for example, a baseline “normal” flow condition may be identified byusing baseline acoustic signals from the acoustic emission sensor 26 dto define a normal flow condition that does not have an elevatedcavitation level. To determine a temporal differential, for example, abaseline “normal” flow condition may be identified when the flow controldevice is new and operating under conditions known or assumed to nothave an elevated cavitation level. The processor 30 may include aroutine 54 e to compare the acoustic information associated with normalflow conditions with corresponding acoustic information from theacoustic information sensors 26 a-c to determine a difference betweenthe baseline or normal flow condition and the flow conditions in theareas likely to experience cavitation. The differences may be generatedinto one or more reports, which may be used for further analysis andguidance relative to operation and/or maintenance of the flow controldevice.

INDUSTRIAL APPLICABILITY

A system, apparatus, and/or method according the teachings of thepresent disclosure is useful for monitoring cavitation in liquid flowingthrough a process control device, such as a control valve or pipe, asdescribed in the technical example provided herein. However, the system,apparatus, and/or method may have other uses and/or benefits, and thedisclosure is not limited to the examples elucidated herein. The abilityto sense the presence of cavitation within or proximate a control valveor other flow control device, in some arrangements, can be useful toallow adjustment of the process conditions through the control valve. Itmay also, in some arrangements, be useful for planning maintenance torepair damage to the control valve and/or adjacent piping componentscaused by cavitation.

The technical examples described and shown in detail herein are onlyexemplary of one or more aspects of the teachings of the presentdisclosure for the purpose of teaching a person of ordinary skill tomake and use the invention or inventions recited in the appended claims.Additional aspects, arrangements, and forms within the scope of theappended claims are contemplated, the rights to which are expresslyreserved.

What is claimed:
 1. An apparatus for sensing cavitation in fluid flowingthrough a flow control device, the apparatus comprising: an acousticemission sensor configured to be disposed along a controlled fluid flowpath extending through a body of the flow control device at a firstselected location, wherein the acoustic emission sensor is arranged todetect acoustic signals produced by cavitation within the fluid flowpath and to provide acoustic information based on the detected acousticsignals; and a processor operatively coupled with the acoustic emissionsensor and arranged to receive the acoustic information from theacoustic emission sensor, wherein the processor is arranged to processthe acoustic information and monitor cavitation levels in the fluid flowpath at least partly based on a rate of cavitation events and anintensity of individual cavitation events extracted from the acousticinformation, wherein the processor differentiates between different flowconditions in the fluid flow path, including between a normal flowcondition and a cavitation flow condition above a predefined thresholdcavitation level, and generates a report of the flow condition in thefluid flow path.
 2. The apparatus of claim 1, wherein the flow controldevice comprises a control valve, wherein the body comprises a valvebody of the control valve, and wherein the acoustic emission sensor iscoupled to an exterior surface of the valve body and arranged to detectelastic waves produced by the cavitation and transmit signals arrangedto provide the acoustic information to the processor.
 3. The apparatusof claim 1, wherein the processor monitors an accumulation of cavitationlevels over time.
 4. The apparatus of claim 3, wherein the processorpredicts a maintenance need based on the accumulation of cavitationlevels.
 5. The apparatus of claim 1, wherein the processor monitors arate of estimated damage to the valve caused by the cavitation based onthe cavitation levels.
 6. The apparatus of claim 5, wherein theprocessor predicts a maintenance need based on the rate of estimateddamage.
 7. The apparatus of claim 1, wherein the flow control device isa pipe, and wherein the acoustic emission sensor is coupled to anexterior surface of the pipe and arranged to detect elastic wavesproduced by the cavitation and transmit signals to provide the acousticinformation to the processor.
 8. The apparatus of claim 1, wherein theprocessor differentiates between the different flow conditions based onat least one of frequency, amplitude, rise time, energy, and counts ofsignals provided by the acoustic emission sensors.
 9. The apparatus ofclaim 1, further comprising: a second acoustic emission sensor disposedalong the fluid flow path at a second selected location, wherein thesecond acoustic emission sensor provides baseline acoustic informationrepresentative of acoustic signals sensed in the fluid flow path underthe normal flow conditions.
 10. The apparatus of claim 1, furthercomprising: a digital valve positioner operatively coupled with theprocessor and with the control valve, the positioner arranged to controla position of a flow control member of the control valve, wherein thedigital valve positioner receives position data representative of aposition of the flow control member, and wherein the digital valvepositioner correlates the acoustic information with the position andthereby identifies non-ideal flow conditions in the fluid flow path. 11.The apparatus of claim 1, wherein the acoustic emission sensor isintegrated with at least one of a digital valve positioner, assetmanagement software, and a process control system, within a computerizedcontrol system for a process control plant.
 12. A method of monitoringcavitation levels in a flow control device for process liquids, whereinan acoustic emission sensor is coupled to an exterior wall of the flowcontrol device and a processor is operatively coupled to the acousticemission sensor to receive acoustic emission signals representative oftransient acoustic energy data sensed in the fluid flow path by theacoustic emission sensor, the method comprising: acquiring signals fromthe acoustic emission sensor with the processor; determining if theacquired signals correspond to a cavitation event having predefinedcharacteristics; recording selected characteristics of the acquiredsignals with the processor only if the acquired signals are produced bya cavitation event; and determining the cavitation level from therecorded selected characteristics, the cavitation level being determinedbased on a rate of cavitation events and an intensity of each cavitationevent.
 13. The method of claim 12, wherein a cavitation event is definedby an acquired signal that is within a predefined filter range.
 14. Themethod of claim 12, further comprising: determining the rate ofcavitation events by calculating a hit rate comprising the number ofcavitation events that occur within a period of time; and determiningthe intensity by calculating an energy unit per cavitation event. 15.The method of claim 12, wherein the flow control device comprises acontrol valve including a flow control member, the method furthercomprising: determining a position of the flow control member; comparingan expected cavitation level correlated to the position of the flowcontrol member with the determined cavitation level; and generating analert if the expected cavitation level deviates from the determinedcavitation level within a predefined level of significance.
 16. Themethod of claim 12, wherein recording selected characteristics of theacquired signals comprises recording a voltage and threshold crossingsof the acquired signals.
 17. A method of monitoring an estimate ofdamage to a flow control device for process liquids caused bycavitation, wherein an acoustic emission sensor is coupled to anexterior wall of the flow control device and a processor is operativelycoupled to the acoustic emission sensor to receive acoustic emissionsignals representative of transient acoustic energy data sensed in thefluid flow path by the acoustic emission sensor, the method comprising:acquiring signals from the acoustic emission sensor with the digitalsignal processor, wherein the acquired signals are associated withtransient acoustic emission data within a pre-defined range offrequencies; recording selected characteristics of the acquired signalswith the digital signal processor only if the acquired signals areproduced by a cavitation event wherein the acquired signals are within apredefined filter range; calculating, from the recorded selectedcharacteristics, a hit rate comprising the number of cavitation eventsthat occur within a selected period of time; calculating, from therecorded selected characteristics, an intensity of each cavitationevent, the intensity comprising an energy unit per cavitation event;determining a cavitation level based on the hit rate and the intensity;and tracking an accumulation over time that the cavitation level exceedsa predetermined threshold, whereby an estimate of accumulated damage tothe flow control device caused by cavitation may be monitored.
 18. Themethod of claim 17, wherein the pre-defined range of frequencies isbetween about 500 kHz and about 1600 kHz.
 19. The method of claim 17,wherein the characteristics of the acquired signals include at least oneof a waveform of the acquired signal and an individual feature of theacquired signal.
 20. The method of claim 17, wherein the step ofdetermining comprises generating an alert only if the hit rate isgreater than a predetermined hit rate threshold and the intensity isgreater than a predetermined intensity threshold value.
 21. The methodof claim 20, wherein the step of tracking comprises incrementing a countin a counter in response to the alert to track a number of times thecavitation level exceeds the predetermined threshold, wherein the countis correlated with an estimation of damage to the flow control device.22. The method of claim 20, wherein the step of tracking comprisestracking an accumulated amount of time that the cavitation level exceedsthe predetermined threshold in response to the alert, wherein theaccumulated amount of time is correlated with an estimation of damage tothe flow control device.
 23. A method of monitoring whether cavitationlevels in a flow control device for process liquids are increasing,wherein an acoustic emission sensor is coupled to an exterior wall ofthe flow control device and a digital signal processor is operativelycoupled to the acoustic emission sensor to receive acoustic emissionsignals representative of transient acoustic energy data sensed in thefluid flow path by the acoustic emission sensor, the method comprising:acquiring signals from the acoustic emission sensor with the digitalsignal processor, wherein the acquired signals are generated in responseto transient acoustic emission data within a pre-defined range offrequencies; recording selected characteristics of the acquired signalswith the digital signal processor only if the acquired signals areproduced by a cavitation event wherein the acquired signals are within apredefined filter range; calculating, from the recorded characteristics,a hit rate comprising the number of cavitation events that occur withina period of time; calculating, from the recorded characteristics, anintensity of each cavitation event, the intensity comprising an energyunit per cavitation event; calculating a trend of the hit rates andintensities with respect to time; and generating an alert thatcavitation levels are increasing if the trend indicates that the hitrates and intensities are increasing over time.
 24. The method of claim23, wherein the alert is generated only if the trend shows thatcavitation levels are increasing at a rate greater than a preselectedrate within a preselected level of statistical significance.